Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-energy system digital twin data flow modeling and compressing method

A compression method and data flow technology, applied in the field of data modeling, can solve problems such as high asymmetry, inaccurate information, and out-of-synchronization, and achieve the effects of improving monitoring level, efficient data acquisition, and realizing online simulation

Pending Publication Date: 2021-02-19
GUIZHOU POWER GRID CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional data modeling and compression methods based on measurement devices have the following difficulties: the entities under the jurisdiction of the system are diversified and highly asymmetrical, each entity has strong nonlinearity, uncertainty, and concealment, and the operation mode is flexible and There is a certain correlation; the system itself and its operating environment are complex and in a state of constant evolution; the information is inaccurate: there may be a delay in the update of the distribution network topology, the line impedance parameters are easily affected by the climate environment, and the measurement data is also There will be flaws such as missing, abnormal, out-of-sync

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-energy system digital twin data flow modeling and compressing method
  • Multi-energy system digital twin data flow modeling and compressing method
  • Multi-energy system digital twin data flow modeling and compressing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] refer to Figure 1~3 , which is the first embodiment of the present invention, this embodiment provides a multi-energy system digital twin data flow modeling and compression method, including:

[0029] S1: Identify the multi-energy system topology and equipment parameters. It should be noted,

[0030] refer to figure 2, multi-energy system topology includes, multi-energy system topology is composed of power network, natural gas network, energy hub and thermal network, and the data of multi-energy system includes geographic information data of each device, map coordinates, latitude and longitude, connection relationship of each device, map Information and route direction;

[0031] Equipment parameters include, equipment parameters include transformers, transmission lines, loads and basic parameters of distributed power supply equipment.

[0032] S2: Obtain the data flow data of the multi-energy system, and establish different data flow models according to different ...

Embodiment 2

[0042] The second embodiment of this embodiment, this embodiment performs specific modeling and compression on the multi-energy system topology and basic equipment parameters.

[0043] (1) Multi-energy system topology

[0044] The multi-energy system takes the power system as the core, is based on the Internet and other information and communication technologies, and uses distributed renewable energy as the main primary energy source, and is closely coupled with other related systems such as thermal systems and natural gas networks. flow system.

[0045] Topological connection data include multi-energy system topology consisting of power network, natural gas network, energy hub and thermal network, in which the power network topology consists of substations, transmission lines, loads, capacitors, high-voltage knife switches, power cables, high-voltage grounding devices, low-voltage arresters, etc. components and distributed power sources such as wind power generation, photovo...

Embodiment 3

[0071] In the third embodiment of the present invention, in order to better verify and explain the technical effects adopted in the method of the present invention, a typical example of a multi-energy system is selected for testing in this embodiment, and the method is verified by means of scientific demonstration. have a real effect;

[0072] Using the system topology of the multi-energy system calculation example, there are 1 three-phase voltage source, 3 transformers, 36 distribution network transmission lines, and 12 loads in this topology, and the loads connected to buses 701 and 742 are distributed power sources. Example to establish data flow models of transformers, transmission lines, loads, etc., where the data structure of transformers is as follows:

[0073]

[0074]

[0075]

[0076]

[0077] The data structure of the transmission line is as follows:

[0078]

[0079]

[0080]

[0081]

[0082]

[0083] The data structure of the load is ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-energy system digital twin data flow modeling and compressing method. The method comprises the following steps: identifying multi-energy system topology and equipment parameters; acquiring the data flow data of the multi-energy system, and establishing different data flow models according to different data types; compressing the data flow model by using different compression algorithms; and storing the compressed data flow model in a database. The monitoring level of the multi-energy system can be improved, abnormal links of system operation can be found, and accurate operation and maintenance based on the state of the multi-energy system can be achieved; data acquisition is more efficient, the states of the electricity, gas and heat (cold) subsystems can bemeasured in real time and transmitted to digital twinning of the energy internet in real time, and then the functions of online simulation, batch simulation, real-time control and the like are achieved; a large number of collection samples in a state can be generated by means of various intelligent algorithms, and results which meet dynamic operation constraints and have better operation are screened out from the collection samples.

Description

technical field [0001] The present invention relates to the technical field of data modeling, in particular to a multi-energy system digital twin data flow modeling and compression method. Background technique [0002] With the development of human society, the contradiction between the growth of energy demand and the shortage of energy has become increasingly prominent. The isolated planning and operation of the traditional energy supply system is not conducive to the improvement of the overall energy efficiency of the system, so the concept of multi-energy system came into being. As the physical basis of the Energy Internet, the multi-energy system tightly couples various energy flows such as electricity, gas, heat, and cold in the production, conversion, storage, and consumption of energy, and can achieve the goal of improving the overall energy utilization rate and economy. Purpose, therefore, the study of planning problems for multi-energy systems is of great significa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F30/20G06F16/2455G06F16/25G06F16/28G06F16/174
CPCG06F30/20G06F16/24568G06F16/284G06F16/254G06F16/1744Y04S10/50
Inventor 李庆生唐学用宋炎侃马覃峰万会江于智同何鑫袁小清孙斌杨禾白浩张裕艾鹏
Owner GUIZHOU POWER GRID CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com